Episode 291
Interpretable Machine Learning
Interview with Serg Masis
The Effective Statistician - in association with PSI
June 5, 202339m 52s
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Show Notes
Interview with Serg Masis
- Benefits of IML
- Interpretability as the ability to understand how a machine learning model works
- Interpretability is better than explainability.
- Black-box models can be interpretable if viewed from a different perspective.
- Glass box models gaining popularity in IML and provide the benefits of both white-box and black-box models.
- Various modeling approaches related to IML, including rule-based models, decision trees, local linear models, and additive models.